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def get_cluster_ref_by_name(session, cluster_name): all_clusters = get_all_cluster_mors(session) for cluster in all_clusters: if (hasattr(cluster, 'propSet') and (cluster.propSet[0].val == cluster_name)): return cluster.obj
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get reference to the vcenter cluster with the specified name .
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def _get_adjacency_lists(network): ins = defaultdict(list) outs = defaultdict(list) lookup = {repr(layer): index for (index, layer) in enumerate(network)} for current_layer in network: if hasattr(current_layer, 'input_layers'): layer_ins = current_layer.input_layers elif hasattr(current_layer, 'input_layer')...
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returns adjacency lists for each layer in network .
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def vcard_from_string(vcard_string): try: vcard = vobject.readOne(vcard_string) except vobject.base.ParseError as error: raise Exception(error) return vcard_from_vobject(vcard)
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vcard_string: str() or unicode() returns vcard() .
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def clone_vm_spec(client_factory, location, power_on=False, snapshot=None, template=False, config=None): clone_spec = client_factory.create('ns0:VirtualMachineCloneSpec') clone_spec.location = location clone_spec.powerOn = power_on if snapshot: clone_spec.snapshot = snapshot if (config is not None): clone_spec...
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builds the vm clone spec .
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def _dump_event(event): dump = {} dump['summary'] = event.title dump['description'] = event.description dump['location'] = event.location dump['transparency'] = ('opaque' if event.busy else 'transparent') if event.all_day: dump['start'] = {'date': event.start.strftime('%Y-%m-%d')} dump['end'] = {'date': event...
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convert an event db object to the google api json format .
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def wait_for_write(socks, timeout=None): return _wait_for_io_events(socks, EVENT_WRITE, timeout)
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waits for writing to be available from a list of sockets or optionally a single socket if passed in .
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def a2b_hex(s): return binascii.a2b_hex(strip_whitespace(s))
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convert hexadecimal to binary .
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def get_timezone_location(dt_or_tzinfo): return get_i18n().get_timezone_location(dt_or_tzinfo)
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see :meth:i18n .
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def clip_spectrum(s, k, discard=0.001): rel_spectrum = np.abs((1.0 - np.cumsum((s / np.sum(s))))) small = (1 + len(np.where((rel_spectrum > min(discard, (1.0 / k))))[0])) k = min(k, small) logger.info('keeping %i factors (discarding %.3f%% of energy spectrum)', k, (100 * rel_spectrum[(k - 1)])) return k
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given eigenvalues s .
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def find_sr_from_vdi(session, vdi_ref): try: sr_ref = session.call_xenapi('VDI.get_SR', vdi_ref) except session.XenAPI.Failure: LOG.exception(_LE('Unable to find SR from VDI')) raise exception.StorageError(reason=(_('Unable to find SR from VDI %s') % vdi_ref)) return sr_ref
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find the sr reference from the vdi reference .
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def test_vertical_mask_line(): (_, hgrad) = np.mgrid[:1:11j, :1:11j] hgrad[:, 5] = 1 mask = np.ones_like(hgrad) mask[:, 5] = 0 expected = np.zeros_like(hgrad) expected[1:(-1), 1:(-1)] = 0.2 expected[1:(-1), 4:7] = 0 for grad_func in (filters.prewitt_v, filters.sobel_v, filters.scharr_v): result = grad_func(hg...
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vertical edge filters mask pixels surrounding input mask .
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def formatRecords(records, heading): (answers, authority, additional) = records lines = [('# ' + heading)] for a in answers: line = [a.name, dns.QUERY_CLASSES.get(a.cls, ('UNKNOWN (%d)' % (a.cls,))), a.payload] lines.append(' '.join((str(word) for word in line))) return '\n'.join((line for line in lines))
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extract only the answer records and return them as a neatly formatted string beneath the given heading .
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def get_total_open_threads(feedback_thread_analytics): return sum((feedback.num_open_threads for feedback in feedback_thread_analytics))
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gets the count of all open threads for the given feedbackthreadanalytics domain object .
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def _can_update(subnet, module, cloud): network_name = module.params['network_name'] cidr = module.params['cidr'] ip_version = int(module.params['ip_version']) ipv6_ra_mode = module.params['ipv6_ra_mode'] ipv6_a_mode = module.params['ipv6_address_mode'] if network_name: network = cloud.get_network(network_name)...
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check for differences in non-updatable values .
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def routingAreaUpdateRequest(PTmsiSignature_presence=0, GprsTimer_presence=0, DrxParameter_presence=0, TmsiStatus_presence=0): a = TpPd(pd=3) b = MessageType(mesType=8) c = UpdateTypeAndCiphKeySeqNr() e = RoutingAreaIdentification() f = MsNetworkCapability() packet = ((((a / b) / c) / e) / f) if (PTmsiSignature_...
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routing area update request section 9 .
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def _CheckIndexName(index_name): _ValidateString(index_name, 'index name', MAXIMUM_INDEX_NAME_LENGTH) return _ValidateVisiblePrintableAsciiNotReserved(index_name, 'index_name')
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checks index_name is a string which is not too long .
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def test_unicode_script(): s = unicode('import datetime; datetime.timedelta') completions = Script(s).completions() assert len(completions) assert (type(completions[0].description) is unicode) s = u("author='\xc3\xb6\xc3\xa4'; author") completions = Script(s).completions() x = completions[0].description assert ...
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normally no unicode objects are being used .
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def getEvaluatedExpressionValueBySplitLine(elementNode, words): evaluators = [] for (wordIndex, word) in enumerate(words): nextWord = '' nextWordIndex = (wordIndex + 1) if (nextWordIndex < len(words)): nextWord = words[nextWordIndex] evaluator = getEvaluator(elementNode, evaluators, nextWord, word) if (e...
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evaluate the expression value .
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def add_css_class(css_classes, css_class, prepend=False): classes_list = split_css_classes(css_classes) classes_to_add = [c for c in split_css_classes(css_class) if (c not in classes_list)] if prepend: classes_list = (classes_to_add + classes_list) else: classes_list += classes_to_add return u' '.join(classes_...
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add a css class to a string of css classes .
train
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def visit_inheritance_diagram(inner_func): def visitor(self, node): try: content = inner_func(self, node) except DotException as e: warning = self.document.reporter.warning(str(e), line=node.line) warning.parent = node node.children = [warning] else: source = self.document.attributes['source'] ...
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this is just a wrapper around html/latex_output_graph to make it easier to handle errors and insert warnings .
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def readXmlFile(xmlFile): checkFile(xmlFile) retVal = minidom.parse(xmlFile).documentElement return retVal
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reads xml file content and returns its dom representation .
train
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def test_ast_bad_cut(): cant_compile(u'(cut)') cant_compile(u'(cut 1 2 3 4 5)')
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make sure ast cant compile invalid cut .
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def tuple_factory(colnames, rows): return rows
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returns each row as a tuple example:: .
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def osd_activate(**kwargs): return ceph_cfg.osd_activate(**kwargs)
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activate an osd cli example: .
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@loader_option() def raiseload(loadopt, attr, sql_only=False): return loadopt.set_relationship_strategy(attr, {'lazy': ('raise_on_sql' if sql_only else 'raise')})
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indicate that the given relationship attribute should disallow lazy loads .
train
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def monkeypatch(klass, methodname=None): def decorator(func): try: name = (methodname or func.__name__) except AttributeError: raise AttributeError(('%s has no __name__ attribute: you should provide an explicit `methodname`' % func)) setattr(klass, name, func) return func return decorator
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the returned monkeypatch fixture provides these helper methods to modify objects .
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def release_lock(lock_file): os.remove(lock_file)
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release a lock represented by a file on the file system .
train
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def logo(): return load('logo.png')
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celery logo image .
train
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@task(base=BaseInstructorTask) def course_survey_report_csv(entry_id, xmodule_instance_args): action_name = ugettext_noop('generated') task_fn = partial(upload_course_survey_report, xmodule_instance_args) return run_main_task(entry_id, task_fn, action_name)
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compute the survey report for a course and upload the generated report to an s3 bucket for download .
train
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def activatePdpContextRequest(AccessPointName_presence=0, ProtocolConfigurationOptions_presence=0): a = TpPd(pd=8) b = MessageType(mesType=65) c = NetworkServiceAccessPointIdentifier() d = LlcServiceAccessPointIdentifier() e = QualityOfService() f = PacketDataProtocolAddress() packet = (((((a / b) / c) / d) / e)...
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activate pdp context request section 9 .
train
true
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def plot_evoked_image(evoked, picks=None, exclude='bads', unit=True, show=True, clim=None, xlim='tight', proj=False, units=None, scalings=None, titles=None, axes=None, cmap='RdBu_r'): return _plot_evoked(evoked=evoked, picks=picks, exclude=exclude, unit=unit, show=show, ylim=clim, proj=proj, xlim=xlim, hline=None, uni...
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plot evoked data as images .
train
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def last_modified_time(path): return pd.Timestamp(os.path.getmtime(path), unit='s', tz='UTC')
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get the last modified time of path as a timestamp .
train
true
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def init(mpstate): return SerialModule(mpstate)
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initialise module .
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def token_freqs(doc): freq = defaultdict(int) for tok in tokens(doc): freq[tok] += 1 return freq
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extract a dict mapping tokens from doc to their frequencies .
train
false
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def __init__(opts): if __virtual__(): os.environ.update(DPKG_ENV_VARS)
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for debian and derivative systems .
train
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def getBoundedLatitude(latitude): return round(min(179.9, max(0.1, latitude)), 1)
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get the bounded latitude .
train
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@pytest.mark.django_db def test_format_instance(): ext = FileExtension.objects.create(name='foo') filetype = Format.objects.create(extension=ext, template_extension=ext) assert (str(filetype.template_extension) == str(ext)) assert (str(filetype) == ('%s (%s/%s)' % (filetype.title, ext, ext)))
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tests the creation of a file extension .
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def find_intersection(x, tr_bounds, lb, ub): lb_centered = (lb - x) ub_centered = (ub - x) lb_total = np.maximum(lb_centered, (- tr_bounds)) ub_total = np.minimum(ub_centered, tr_bounds) orig_l = np.equal(lb_total, lb_centered) orig_u = np.equal(ub_total, ub_centered) tr_l = np.equal(lb_total, (- tr_bounds)) tr...
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find intersection of trust-region bounds and initial bounds .
train
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def ignore_comments(lines_enum): for (line_number, line) in lines_enum: line = COMMENT_RE.sub('', line) line = line.strip() if line: (yield (line_number, line))
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strips comments and filter empty lines .
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def _CheckCursor(cursor): return _ValidateString(cursor, 'cursor', _MAXIMUM_CURSOR_LENGTH, empty_ok=True)
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checks the cursor if specified is a string which is not too long .
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@frappe.whitelist() def get_user_roles(arg=None): return frappe.get_roles(frappe.form_dict[u'uid'])
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get roles for a user .
train
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def _parse_write_concern(options): concern = options.get('w') wtimeout = options.get('wtimeout') j = options.get('j', options.get('journal')) fsync = options.get('fsync') return WriteConcern(concern, wtimeout, j, fsync)
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parse write concern options .
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def _get_failure_view(): return get_callable(settings.CSRF_FAILURE_VIEW)
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returns the view to be used for csrf rejections .
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def test_destination(destination, demo=False): if (demo and os.path.exists(destination)): LOGGER.warning(u'The directory {0} already exists, and a new demo site cannot be initialized in an existing directory.'.format(destination)) LOGGER.warning(u'Please remove the directory and try again, or use another directory...
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check if the destination already exists .
train
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@remote_data def test_db_from_registry(): from ...validator import conf db = vos_catalog.VOSDatabase.from_registry(conf.conesearch_master_list, encoding=u'binary', show_progress=False) assert (len(db) > 9000)
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test database created from vo registry .
train
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def fileserver(opts, backends): return LazyLoader(_module_dirs(opts, 'fileserver'), opts, tag='fileserver', whitelist=backends, pack={'__utils__': utils(opts)})
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returns the file server modules .
train
true
30,213
def zdt1(individual): g = (1.0 + ((9.0 * sum(individual[1:])) / (len(individual) - 1))) f1 = individual[0] f2 = (g * (1 - sqrt((f1 / g)))) return (f1, f2)
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zdt1 multiobjective function .
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def to_bag(df, index=False): from ...bag.core import Bag if (not isinstance(df, (DataFrame, Series))): raise TypeError('df must be either DataFrame or Series') name = ('to_bag-' + tokenize(df, index)) dsk = dict((((name, i), (_df_to_bag, block, index)) for (i, block) in enumerate(df._keys()))) dsk.update(df._opt...
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create dask bag from a dask dataframe parameters index : bool .
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def as_published(location): return location.replace(revision=MongoRevisionKey.published)
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returns the location that is the published version for location .
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def test_end_newlines(): def test(source, end_pos): module = ParserWithRecovery(load_grammar(), u(source)).module assert (module.get_code() == source) assert (module.end_pos == end_pos) test('a', (1, 1)) test('a\n', (2, 0)) test('a\nb', (2, 1)) test('a\n#comment\n', (3, 0)) test('a\n#comment', (2, 8)) test...
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the python grammar explicitly needs a newline at the end .
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def add_user_with_status_granted(caller, user): if _add_user(user, CourseCreator.GRANTED): update_course_creator_group(caller, user, True)
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adds a user to the course creator table with status granted .
train
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@pytest.mark.cmd @pytest.mark.django_db def test_import_emptyfile(capfd, tmpdir): p = tmpdir.mkdir('sub').join('empty.po') p.write('') with pytest.raises(CommandError) as e: call_command('import', os.path.join(p.dirname, p.basename)) assert ('missing X-Pootle-Path header' in str(e))
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load an empty po file .
train
false
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def get_repository_dependency_types(repository_dependencies): has_repository_dependencies = False for rd_tup in repository_dependencies: (tool_shed, name, owner, changeset_revision, prior_installation_required, only_if_compiling_contained_td) = common_util.parse_repository_dependency_tuple(rd_tup) if (not util.as...
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inspect the received list of repository_dependencies tuples and return boolean values for has_repository_dependencies and has_repository_dependencies_only_if_compiling_contained_td .
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def webpyfunc(inp, fvars=None, autoreload=False): if (not fvars): fvars = upvars() if (not hasattr(inp, '__call__')): if autoreload: mod = __import__(fvars['__file__'].split(os.path.sep).pop().split('.')[0]) name = dictfind(fvars, inp) func = (lambda : handle(getattr(mod, name), mod)) else: func = (...
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if inp is a url mapping .
train
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def CanonicalPathToLocalPath(path): path = path.replace('/\\', '\\') path = path.replace('/', '\\') m = re.match('\\\\([a-zA-Z]):(.*)$', path) if m: path = ('%s:\\%s' % (m.group(1), m.group(2).lstrip('\\'))) return path
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linux uses a normal path .
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def byte2int(b): return (ord(b) if PY2 else b)
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converts a byte to an integer .
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def _flush_logs_buffer(): logservice.logs_buffer().flush()
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empties all logs stored within the globally-held logs buffer .
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def _get_graded_from_block(persisted_block, block): if persisted_block: return persisted_block.graded else: return _get_explicit_graded(block)
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returns the graded value from the persisted_block if found .
train
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@then('the tag expression selects elements with tags') def step_then_tag_expression_selects_elements_with_tags(context): assert context.tag_expression, 'REQUIRE: context.tag_expression' context.table.require_columns(['tags', 'selected?']) tag_expression = context.tag_expression expected = [] actual = [] for row i...
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checks if a tag expression selects an element with the given tags .
train
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@skipif((not has_qt)) def test_line_profile(): plugin = setup_line_profile(data.camera()) (line_image, scan_data) = plugin.output() for inp in [line_image.nonzero()[0].size, (line_image.sum() / line_image.max()), scan_data.size]: assert_equal(inp, 172) assert_equal(line_image.shape, (512, 512)) assert_allclose(s...
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test a line profile using an ndim=2 image .
train
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30,229
def select_vhost(domain, vhosts): if (not vhosts): return None while True: (code, tag) = _vhost_menu(domain, vhosts) if (code == display_util.HELP): _more_info_vhost(vhosts[tag]) elif (code == display_util.OK): return vhosts[tag] else: return None
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select an appropriate apache vhost .
train
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def test_register_filter(): assert_raises(ValueError, register_filter, object) class MyFilter(Filter, ): name = None def output(self, *a, **kw): pass assert_raises(ValueError, register_filter, MyFilter) MyFilter.name = 'foo' register_filter(MyFilter) class OverrideMyFilter(Filter, ): name = 'foo' def o...
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test registration of custom filters .
train
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def loadAliasFile(domains, filename=None, fp=None): result = {} close = False if (fp is None): fp = open(filename) close = True else: filename = getattr(fp, 'name', '<unknown>') i = 0 prev = '' try: for line in fp: i += 1 line = line.rstrip() if line.lstrip().startswith('#'): continue eli...
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load a file containing email aliases .
train
false
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def find_feat_part(artist, albumartist): feat_part = None albumartist_split = artist.split(albumartist, 1) if (len(albumartist_split) <= 1): return feat_part elif (albumartist_split[(-1)] != ''): (_, feat_part) = split_on_feat(albumartist_split[(-1)]) else: (lhs, rhs) = split_on_feat(albumartist_split[0]) ...
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attempt to find featured artists in the items artist fields and return the results .
train
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def func_lineno(func): try: return func.compat_co_firstlineno except AttributeError: try: return func.func_code.co_firstlineno except AttributeError: return (-1)
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get the line number of a function .
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def get_backup_drivers(): _ensure_loaded('cinder/backup/drivers') return [DriverInfo(x) for x in interface._backup_register]
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get a list of all backup drivers .
train
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def iso8601format(dt): return (dt.strftime('%Y-%m-%dT%H:%M:%SZ') if dt else '')
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given a datetime object .
train
false
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def format_range(value): if (len(value) == 4): result = ('%s %s-%s/%s' % (value[3], value[0], value[1], value[2])) else: result = ('bytes %s-%s/%s' % (value[0], value[1], value[2])) if six.PY2: result = str(result) return result
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formats a range header tuple per the http spec .
train
false
30,241
def funcs_allclose(f, backends, backend_tensors, rtol=0, atol=1e-07): results = [] for (backend, tensors) in zip(backends, backend_tensors): results.append(call_func(f, backend, tensors)) return tensors_allclose(results, rtol=rtol, atol=atol)
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for each backends .
train
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def tracing(): def prep(r): if (r.id and (r.component_name == 'exposure')): ctable = r.component.table case_id = ctable.case_id case_id.default = r.id case_id.readable = case_id.writable = False crud_strings = s3.crud_strings[r.component.tablename] crud_strings['label_create'] = T('Add Contact Pers...
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contact tracing controller .
train
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def clip_boxes(boxes, im_shape): boxes[:, 0::4] = np.maximum(np.minimum(boxes[:, 0::4], (im_shape[1] - 1)), 0) boxes[:, 1::4] = np.maximum(np.minimum(boxes[:, 1::4], (im_shape[0] - 1)), 0) boxes[:, 2::4] = np.maximum(np.minimum(boxes[:, 2::4], (im_shape[1] - 1)), 0) boxes[:, 3::4] = np.maximum(np.minimum(boxes[:, 3...
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clip boxes to image boundaries .
train
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def p_init_declarator_list_1(t): pass
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init_declarator_list : init_declarator .
train
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def p_parameter_list_1(t): pass
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parameter_list : parameter_declaration .
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def TruncateValue(value): value = ustr(value) if (len(value) > 32): return (value[:32] + '...') return value
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truncates potentially very long string to a fixed maximum length .
train
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def get_suite(): loader = unittest.TestLoader() tld = __file__.split(os.path.sep) tld.reverse() for (i, x) in enumerate(tld): if (x == 'pyamf'): tld.reverse() tld = os.path.sep.join(tld[:((-1) - i)]) break return loader.discover('pyamf', top_level_dir=tld)
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discover the entire test suite .
train
false
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def listOfFeatures2Matrix(features): X = numpy.array([]) Y = numpy.array([]) for (i, f) in enumerate(features): if (i == 0): X = f Y = (i * numpy.ones((len(f), 1))) else: X = numpy.vstack((X, f)) Y = numpy.append(Y, (i * numpy.ones((len(f), 1)))) return (X, Y)
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listoffeatures2matrix this function takes a list of feature matrices as argument and returns a single concatenated feature matrix and the respective class labels .
train
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def getEmptyZLoops(archivableObjects, importRadius, shouldPrintWarning, z, zoneArrangement): emptyZ = zoneArrangement.getEmptyZ(z) visibleObjects = evaluate.getVisibleObjects(archivableObjects) visibleObjectLoopsList = boolean_solid.getVisibleObjectLoopsList(importRadius, visibleObjects, emptyZ) loops = euclidean.g...
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get loops at empty z level .
train
false
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def test_now(): now = datetime.datetime.utcnow() t = Time.now() assert (t.format == 'datetime') assert (t.scale == 'utc') dt = (t.datetime - now) if (sys.version_info[:2] < (2, 7)): total_secs = (lambda td: ((td.microseconds + ((td.seconds + ((td.days * 24) * 3600)) * (10 ** 6))) / (10 ** 6.0))) else: total_...
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tests creating a time object with the now class method .
train
false
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def paging(pause=0, marker_property='marker'): def wrapper(f): def page(*args, **kwargs): results = [] marker = None while True: try: new = f(marker=marker, *args, **kwargs) marker = getattr(new, marker_property) results.extend(new) if (not marker): break elif pause: ...
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adds paging to boto retrieval functions that support a marker this is configurable as not all boto functions seem to use the same name .
train
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@decorator def deflate(f, *args, **kwargs): data = f(*args, **kwargs) if isinstance(data, Response): content = data.data else: content = data deflater = zlib.compressobj() deflated_data = deflater.compress(content) deflated_data += deflater.flush() if isinstance(data, Response): data.data = deflated_data ...
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compress/base64 encode a string .
train
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def test_bad_repr(): with nt.assert_raises(ZeroDivisionError): pretty.pretty(BadRepr())
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dont catch bad repr errors .
train
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def configure_network(ip, netmask, gateway): current = network() if ((ip in current['Network Settings']['IP_ADDRESS']['VALUE']) and (netmask in current['Network Settings']['SUBNET_MASK']['VALUE']) and (gateway in current['Network Settings']['GATEWAY_IP_ADDRESS']['VALUE'])): return True _xml = '<RIBCL VERSION="2.0"...
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configure network interface cli example: .
train
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def list_environments(): return settings.environments
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returns a list of all defined environments .
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def get_any_collection(bus): try: return Collection(bus) except ItemNotFoundException: pass try: return Collection(bus, SESSION_COLLECTION) except ItemNotFoundException: pass collections = list(get_all_collections(bus)) if collections: return collections[0] else: raise ItemNotFoundException('No colle...
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returns any collection .
train
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def create_return_url(base, query, **kwargs): part = urlsplit(base) if part.fragment: raise ValueError("Base URL contained parts it shouldn't") for (key, values) in parse_qs(query).items(): if (key in kwargs): if isinstance(kwargs[key], basestring): kwargs[key] = [kwargs[key]] kwargs[key].extend(values...
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add a query string plus extra parameters to a base url which may contain a query part already .
train
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def get_by_path(obj, path): for key in path: obj = obj[key] return obj
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iteratively get on obj for each key in path .
train
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@cli.command() @click.option('--count', default=8000, type=click.IntRange(1, 100000), help='The number of items to process.') def progress(count): items = range_type(count) def process_slowly(item): time.sleep((0.002 * random.random())) def filter(items): for item in items: if (random.random() > 0.3): (yi...
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progress an iterator and updates a pretty status line to the terminal .
train
false
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def start_scan_helper(target_urls, scan_profile, scan_info_setup): scan_info = ScanInfo() SCANS[get_new_scan_id()] = scan_info scan_info.w3af_core = w3af_core = w3afCore() scan_info.target_urls = target_urls scan_info.output = RESTAPIOutput() scan_info_setup.set() (scan_profile_file_name, profile_path) = create_...
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create a new instance of w3afcore .
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def _remove_dir(path): try: shutil.rmtree(path.path) except OSError as e: if (e.errno != errno.ENOENT): raise
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safely remove the directory path .
train
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def name_from_basename(basename): return (u'icons:' + basename)
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prefix the basename with "icons:" so that git-colas icons are found "icons" is registered with qts resource system during install() .
train
false
30,268
def get_keypair(vm_): keypair = config.get_cloud_config_value('keypair', vm_, __opts__) if keypair: return keypair else: return False
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return the keypair to use .
train
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def determine_user_agent(config): if (config.user_agent is None): ua = 'CertbotACMEClient/{0} ({1}) Authenticator/{2} Installer/{3}' ua = ua.format(certbot.__version__, util.get_os_info_ua(), config.authenticator, config.installer) else: ua = config.user_agent return ua
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set a user_agent string in the config based on the choice of plugins .
train
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def gaussian(h, Xi, x): return ((1.0 / np.sqrt((2 * np.pi))) * np.exp(((- ((Xi - x) ** 2)) / ((h ** 2) * 2.0))))
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gaussian kernel for continuous variables parameters h : 1-d ndarray .
train
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def post_call_hook(service, call, request, response, rpc=None, error=None): if recorder_proxy.has_recorder_for_current_request(): if config.DEBUG: logging.debug('post_call_hook: recording %s.%s', service, call) recorder_proxy.record_rpc_response(service, call, request, response, rpc)
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post-call hook function for apiproxy_stub_map .
train
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def test_pydotprint_cond_highlight(): if (not theano.printing.pydot_imported): raise SkipTest('pydot not available') x = tensor.dvector() f = theano.function([x], (x * 2)) f([1, 2, 3, 4]) s = StringIO() new_handler = logging.StreamHandler(s) new_handler.setLevel(logging.DEBUG) orig_handler = theano.logging_de...
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this is a really partial test .
train
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@mock_streams('stdout') def test_puts_with_user_output_off(): output.user = False puts("You aren't reading this.") eq_(sys.stdout.getvalue(), '')
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puts() shouldnt print input to sys .
train
false
30,278
def create_customer_gateway(vpn_connection_type, ip_address, bgp_asn, customer_gateway_name=None, tags=None, region=None, key=None, keyid=None, profile=None): return _create_resource('customer_gateway', customer_gateway_name, type=vpn_connection_type, ip_address=ip_address, bgp_asn=bgp_asn, tags=tags, region=region, k...
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given a valid vpn connection type .
train
true
30,281
def module_name_from_dir(dirname, err=True, files=None): if (files is None): files = os.listdir(dirname) names = [file for file in files if (file.endswith('.so') or file.endswith('.pyd'))] if ((len(names) == 0) and (not err)): return None elif (len(names) == 1): return os.path.join(dirname, names[0]) else: ...
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scan the contents of a cache directory and return full path of the dynamic lib in it .
train
false
30,284
def triad_graph(triad_name): if (triad_name not in TRIAD_EDGES): raise ValueError('unknown triad name "{}"; use one of the triad names in the TRIAD_NAMES constant'.format(triad_name)) G = DiGraph() G.add_nodes_from('abc') G.add_edges_from(TRIAD_EDGES[triad_name]) return G
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returns the triad graph with the given name .
train
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def is_progressive(image): if (not isinstance(image, Image.Image)): return False return (('progressive' in image.info) or ('progression' in image.info))
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check to see if an image is progressive .
train
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